Package org.apache.commons.math3.distribution

Examples of org.apache.commons.math3.distribution.UniformIntegerDistribution


                return false;
            }
            final int    n = FastMath.max(1, (int) FastMath.ceil(FastMath.abs(dt) / maxCheckInterval));
            final double h = dt / n;

            final UnivariateFunction f = new UnivariateFunction() {
                public double value(final double t) throws LocalMaxCountExceededException {
                    try {
                        interpolator.setInterpolatedTime(t);
                        return handler.g(t, getCompleteState(interpolator));
                    } catch (MaxCountExceededException mcee) {
                        throw new LocalMaxCountExceededException(mcee);
                    }
                }
            };

            double ta = t0;
            double ga = g0;
            for (int i = 0; i < n; ++i) {

                // evaluate handler value at the end of the substep
                final double tb = t0 + (i + 1) * h;
                interpolator.setInterpolatedTime(tb);
                final double gb = handler.g(tb, getCompleteState(interpolator));

                // check events occurrence
                if (g0Positive ^ (gb >= 0)) {
                    // there is a sign change: an event is expected during this step

                    // variation direction, with respect to the integration direction
                    increasing = gb >= ga;

                    // find the event time making sure we select a solution just at or past the exact root
                    final double root;
                    if (solver instanceof BracketedUnivariateSolver<?>) {
                        @SuppressWarnings("unchecked")
                        BracketedUnivariateSolver<UnivariateFunction> bracketing =
                                (BracketedUnivariateSolver<UnivariateFunction>) solver;
                        root = forward ?
                               bracketing.solve(maxIterationCount, f, ta, tb, AllowedSolution.RIGHT_SIDE) :
                               bracketing.solve(maxIterationCount, f, tb, ta, AllowedSolution.LEFT_SIDE);
                    } else {
                        final double baseRoot = forward ?
                                                solver.solve(maxIterationCount, f, ta, tb) :
                                                solver.solve(maxIterationCount, f, tb, ta);
                        final int remainingEval = maxIterationCount - solver.getEvaluations();
                        BracketedUnivariateSolver<UnivariateFunction> bracketing =
                                new PegasusSolver(solver.getRelativeAccuracy(), solver.getAbsoluteAccuracy());
                        root = forward ?
                               UnivariateSolverUtils.forceSide(remainingEval, f, bracketing,
                                                                   baseRoot, ta, tb, AllowedSolution.RIGHT_SIDE) :
                               UnivariateSolverUtils.forceSide(remainingEval, f, bracketing,
                                                                   baseRoot, tb, ta, AllowedSolution.LEFT_SIDE);
                    }

                    if ((!Double.isNaN(previousEventTime)) &&
                        (FastMath.abs(root - ta) <= convergence) &&
                        (FastMath.abs(root - previousEventTime) <= convergence)) {
                        // we have either found nothing or found (again ?) a past event,
                        // retry the substep excluding this value, and taking care to have the
                        // required sign in case the g function is noisy around its zero and
                        // crosses the axis several times
                        do {
                            ta = forward ? ta + convergence : ta - convergence;
                            ga = f.value(ta);
                        } while ((g0Positive ^ (ga >= 0)) && (forward ^ (ta >= tb)));
                        --i;
                    } else if (Double.isNaN(previousEventTime) ||
                               (FastMath.abs(previousEventTime - root) > convergence)) {
                        pendingEventTime = root;
View Full Code Here


                        final double baseRoot = forward ?
                                                solver.solve(maxIterationCount, f, ta, tb) :
                                                solver.solve(maxIterationCount, f, tb, ta);
                        final int remainingEval = maxIterationCount - solver.getEvaluations();
                        BracketedUnivariateSolver<UnivariateFunction> bracketing =
                                new PegasusSolver(solver.getRelativeAccuracy(), solver.getAbsoluteAccuracy());
                        root = forward ?
                               UnivariateSolverUtils.forceSide(remainingEval, f, bracketing,
                                                                   baseRoot, ta, tb, AllowedSolution.RIGHT_SIDE) :
                               UnivariateSolverUtils.forceSide(remainingEval, f, bracketing,
                                                                   baseRoot, tb, ta, AllowedSolution.LEFT_SIDE);
View Full Code Here

        return outBuffer.toString().substring(0, len);
    }

    /** {@inheritDoc} */
    public int nextInt(final int lower, final int upper) throws NumberIsTooLargeException {
        return new UniformIntegerDistribution(getRandomGenerator(), lower, upper).sample();
    }
View Full Code Here

        return outBuffer.toString().substring(0, len);
    }

    /**  {@inheritDoc} */
    public int nextSecureInt(final int lower, final int upper) throws NumberIsTooLargeException {
        return new UniformIntegerDistribution(getSecRan(), lower, upper).sample();
    }
View Full Code Here

                final int target;
                if (i == start) {
                    target = start;
                } else {
                    // NumberIsTooLargeException cannot occur.
                    target = new UniformIntegerDistribution(rng, start, i).sample();
                }
                final int temp = list[target];
                list[target] = list[i];
                list[i] = temp;
            }
        }
            break;
        case HEAD: {
            for (int i = 0; i <= start; i++) {
                final int target;
                if (i == start) {
                    target = start;
                } else {
                    // NumberIsTooLargeException cannot occur.
                    target = new UniformIntegerDistribution(rng, i, start).sample();
                }
                final int temp = list[target];
                list[target] = list[i];
                list[i] = temp;
            }
View Full Code Here

    public void testWithInitialCapacity() {

        ResizableDoubleArray eDA2 = new ResizableDoubleArray(2);
        Assert.assertEquals("Initial number of elements should be 0", 0, eDA2.getNumElements());

        final IntegerDistribution randomData = new UniformIntegerDistribution(100, 1000);
        final int iterations = randomData.sample();

        for( int i = 0; i < iterations; i++) {
            eDA2.addElement( i );
        }
View Full Code Here

    public void testWithInitialCapacityAndExpansionFactor() {

        ResizableDoubleArray eDA3 = new ResizableDoubleArray(3, 3.0, 3.5);
        Assert.assertEquals("Initial number of elements should be 0", 0, eDA3.getNumElements() );

        final IntegerDistribution randomData = new UniformIntegerDistribution(100, 3000);
        final int iterations = randomData.sample();

        for( int i = 0; i < iterations; i++) {
            eDA3.addElement( i );
        }
View Full Code Here

        double[] values = new double[len];
        double[] weights = new double[len];

        // Fill weights array with random int values between 1 and 5
        int[] intWeights = new int[len];
        final IntegerDistribution weightDist = new UniformIntegerDistribution(1, 5);
        for (int i = 0; i < len; i++) {
            intWeights[i] = weightDist.sample();
            weights[i] = intWeights[i];
        }

        // Fill values array with random data from N(mu, sigma)
        // and fill valuesList with values from values array with
View Full Code Here

        return outBuffer.toString().substring(0, len);
    }

    /** {@inheritDoc} */
    public int nextInt(final int lower, final int upper) throws NumberIsTooLargeException {
        return new UniformIntegerDistribution(getRandomGenerator(), lower, upper).sample();
    }
View Full Code Here

        return outBuffer.toString().substring(0, len);
    }

    /**  {@inheritDoc} */
    public int nextSecureInt(final int lower, final int upper) throws NumberIsTooLargeException {
        return new UniformIntegerDistribution(getSecRan(), lower, upper).sample();
    }
View Full Code Here

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